Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques
Authors
Keywords
-
Journal
SENSORS
Volume 19, Issue 8, Pages 1815
Publisher
MDPI AG
Online
2019-04-17
DOI
10.3390/s19081815
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Low-cost assessment of grain yield in durum wheat using RGB images
- (2019) Jose A. Fernandez-Gallego et al. EUROPEAN JOURNAL OF AGRONOMY
- Measuring the dynamic photosynthome
- (2018) Erik H Murchie et al. ANNALS OF BOTANY
- Translating High-Throughput Phenotyping into Genetic Gain
- (2018) José Luis Araus et al. TRENDS IN PLANT SCIENCE
- Phenotyping Conservation Agriculture Management Effects on Ground and Aerial Remote Sensing Assessments of Maize Hybrids Performance in Zimbabwe
- (2018) Adrian Gracia-Romero et al. Remote Sensing
- High-Throughput Phenotyping of Canopy Cover and Senescence in Maize Field Trials Using Aerial Digital Canopy Imaging
- (2018) Richard Makanza et al. Remote Sensing
- Fast and robust multiple ColorChecker detection using deep convolutional neural networks
- (2018) Pedro D. Marrero Fernández et al. IMAGE AND VISION COMPUTING
- Commercial Off-the-Shelf Digital Cameras on Unmanned Aerial Vehicles for Multitemporal Monitoring of Vegetation Reflectance and NDVI
- (2017) Elias F. Berra et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Comparative Performance of Ground vs. Aerially Assessed RGB and Multispectral Indices for Early-Growth Evaluation of Maize Performance under Phosphorus Fertilization
- (2017) Adrian Gracia-Romero et al. Frontiers in Plant Science
- Comparative UAV and Field Phenotyping to Assess Yield and Nitrogen Use Efficiency in Hybrid and Conventional Barley
- (2017) Shawn C. Kefauver et al. Frontiers in Plant Science
- Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service
- (2016) Ángel Maresma et al. Remote Sensing
- A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization
- (2016) Omar Vergara-Díaz et al. Frontiers in Plant Science
- The combined use of vegetation indices and stable isotopes to predict durum wheat grain yield under contrasting water conditions
- (2015) Abdelhalim Elazab et al. AGRICULTURAL WATER MANAGEMENT
- Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review
- (2015) Sindhuja Sankaran et al. EUROPEAN JOURNAL OF AGRONOMY
- Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize
- (2015) M Zaman-Allah et al. Plant Methods
- Unmanned aerial systems for photogrammetry and remote sensing: A review
- (2014) I. Colomina et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Association of digital photo parameters and NDVI with winter wheat grain yield in variable environments
- (2014) Alexey MORGOUNOV et al. Turkish Journal of Agriculture and Forestry
- Crop segmentation from images by morphology modeling in the CIE L*a*b* color space
- (2013) X.D. Bai et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Genetic distance among doubled haploid maize lines and their testcross performance under drought stress and non-stress conditions
- (2013) Yoseph Beyene et al. EUPHYTICA
- Color Error in the Digital Camera Image Capture Process
- (2013) John Penczek et al. JOURNAL OF DIGITAL IMAGING
- Field high-throughput phenotyping: the new crop breeding frontier
- (2013) José Luis Araus et al. TRENDS IN PLANT SCIENCE
- Adapting maize production to climate change in sub-Saharan Africa
- (2013) Jill E. Cairns et al. Food Security
- Effect of Salt Stress on Growth and Chlorophyll Content of Some Cultivated Cotton Varieties Grown in Syria
- (2012) B. Saleh COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
- Prediction of grain yield using reflectance spectra of canopy and leaves in maize plants grown under different water regimes
- (2012) V.S. Weber et al. FIELD CROPS RESEARCH
- A visible band index for remote sensing leaf chlorophyll content at the canopy scale
- (2012) E. Raymond Hunt et al. International Journal of Applied Earth Observation and Geoinformation
- Phenotyping for Abiotic Stress Tolerance in MaizeF
- (2012) Benhilda Masuka et al. Journal of Integrative Plant Biology
- Dissecting Maize Productivity: Ideotypes Associated with Grain Yield under Drought Stress and Well-watered Conditions
- (2012) Jill E. Cairns et al. Journal of Integrative Plant Biology
- NIH Image to ImageJ: 25 years of image analysis
- (2012) Caroline A Schneider et al. NATURE METHODS
- Achieving yield gains in wheat
- (2012) MATTHEW REYNOLDS et al. PLANT CELL AND ENVIRONMENT
- Digital image analysis and chlorophyll metering for phenotyping the effects of nodulation in soybean
- (2010) J. Vollmann et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Estimating the nitrogen status of crops using a digital camera
- (2010) Y. Li et al. FIELD CROPS RESEARCH
- Breeding for Yield Potential and Stress Adaptation in Cereals
- (2008) José Luis Araus et al. CRITICAL REVIEWS IN PLANT SCIENCES
- Physiological N response of field-grown maize hybrids (Zea mays L.) with divergent yield potential and grain protein concentration
- (2008) Martín Uribelarrea et al. PLANT AND SOIL
- Can Commercial Digital Cameras Be Used as Multispectral Sensors? A Crop Monitoring Test
- (2008) Valentine Lebourgeois et al. SENSORS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now